steep-balloon-41261
03/18/2026, 6:11 AMtall-airline-16756
03/18/2026, 6:11 AMtall-airline-16756
03/18/2026, 6:12 AMYYYY-MM-DD, MM/DD/YYYY, March 19, 2020, or March 19th, 2020)?
While you gather that, here are a few general suggestions that often fix this:
• Be explicit in the prompt with a single formatting rule and one canonical example, e.g., “Always format dates exactly like YYYY-MM-DD — for example: 2020-03-19. Do not use words, ordinal suffixes, or slashes.”
• Add a hard constraint in the instruction, e.g., “If you cannot format the date exactly, respond with the single token INVALID_DATE_FORMAT.” That discourages the model from improvising.
• If you control the post-processing layer, return structured data instead of free text (for example JSON with a date field). Have the model output a machine-parseable date like {"date":"2020-03-19"} — then format for display in your app.
• If the Agent is parsing human input into dates, use a deterministic date parser library (e.g., dateutil, chrono) and then re-format to your canonical form before returning.
• If the model is hallucinating formats, add a short validation step in your pipeline that checks the output against a regex for your required format and re-prompts or corrects if it doesn’t match.
Share the prompt and examples you mentioned and I’ll:
• Point out what in the prompt might allow variability,
• Give a tightened prompt you can copy-paste,
• Or provide a small post-processing snippet (regex or code) to enforce the format you want., with interactive elements